Fullstack Engineer - Data Products

Staff Fullstack Engineer – Data Products

As a Staff Fullstack Engineer – Data Products, you will help build Git Lab’s in‑product insights on top of the Data Insights Platform and the Git Lab Knowledge Graph. You will be the technical anchor across reporting dashboards, inbound graph ingestion, and outbound data delivery, turning software delivery data into reliable and actionable intelligence for customers and internal teams. The role is ideal for those who want to shape what gets built, make early architectural choices, and guide work from specification through production health.

You will provide technical guidance across your domain, partner closely with Product, Design, and backend teams, and own outcomes across , Dedicated, and Self‑Managed environments. You will be the technical anchor for the Data Products team – the group building the foundation for how Git Lab turns software delivery data into reliable, interoperable, and actionable intelligence.

• Architect how Git Lab and third‑party data are ingested, modeled, and synchronized into the Knowledge Graph as a near‑real‑time graph of the development ecosystem.
• Coordinate integration with external systems such as Jira, observability tools, Zendesk, and Service Now to add business context to data products.
• Design the Data Marketplace so customers can consume Git Lab data through Snowflake, Databricks, and Big Query without engineering handoffs.
• Publish Git Lab observability data as Open Telemetry and support the APIs used for data access.
• Define operational readiness for the systems your team ships across , Dedicated, and Self‑Managed deployments.
• Translate ambiguous product problems into practical technical plans and iterative roadmaps in partnership with Product, Design, and the graph backend team.
• Resolve cross‑team coordination with Graph Backend, AI Platform, and Infrastructure to keep delivery moving.
• Mentor senior and intermediate engineers through design reviews, pairing, and code review.

• Experience owning product or platform systems end to end across multiple engineering and product teams at the staff level.
• Strong full‑stack technical skills with proficiency in Go, Ruby, and Node.
• Depth in at least one area such as reporting and metrics platforms, graph data systems, or data access and warehouse integrations including Snowflake, Databricks, or Big Query.
• Hands‑on experience building production data ingestion, systems integrations, or data access capabilities.
• Experience operating multi‑tenant systems across both SaaS and self‑managed environments.
• Strong judgment in ambiguity, with the ability to make trade‑offs, create clarity, and move early‑stage work forward.
• Clear written communication skills, including architecture proposals and design records that help distributed teams make progress asynchronously.
• A practical and proactive approach to collaboration, with transferable experience welcomed from adjacent platform, data, or product engineering backgrounds.

The Data Products team is building the foundation for how Git Lab turns software delivery data into reliable, interoperable, and actionable intelligence for customers and internal teams. Our scope includes software engineering intelligence, dashboard and reporting frameworks, external data access and output, and internal and external data ingestion across areas such as DORA metrics, value‑stream reporting, AI impact, software delivery trends, security and quality metrics, custom reporting, data access APIs, Open Telemetry‑based output, and ingestion into the Knowledge Graph and Data Insights Platform.

We work in a high‑ambiguity, high‑impact space and collaborate closely across product and platform groups using Git Lab’s asynchronous, distributed way of working.

• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation – Employee Stock Purchase Plan
• Growth and Development Fund
• Parental Leave

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